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Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Design LLM-as-judge rubrics, direct scores and pairwise comparisons. Use for judge models, evals, position bias and calibration against human labels.
Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.
Computer vision pipeline design and evaluation. Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
Query Equibles for US stock market data: SEC filing search, XBRL financial statements, earnings call transcripts, insider and 13F holdings, and daily prices.
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
Master ERC-721 and ERC-1155 NFT standards, metadata best practices, and advanced NFT features.
Expert guide for Odoo Inventory: stock valuation (FIFO/AVCO), reordering rules, putaway strategies, routes, and multi-warehouse configuration.
Compare raw and explicitly filtered options put/call ratios with documented premium, delta and expiry assumptions
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage.
Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and analyzes proposed stop-loss levels.
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
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